Jaewoo Kim

Software Development Engineer II at University of Illinois at Urbana-Champaign

Seattle, Washington, United States
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Summary

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Rockstar
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Top School
Jaewoo Kim is a Software Development Engineer II at AWS with nine years of experience building full-stack systems using Java, Python, and JavaScript, and leading migrations of legacy subscription APIs while maintaining 99.9% availability and robust security. He earned a MS with thesis in Computer Science from UIUC focused on data analytics and was an early, high-impact contributor to Lux, the popular open-source library that auto-visualizes pandas DataFrames. At AWS he leads a web service for orchestrating Marketplace procurement and has been recognized with a Helpful Leader Award for mentorship and collaboration. Comfortable navigating ambiguous business problems end-to-end, he pairs production-grade engineering practices with a research-driven background in data visualization and teaching experience guiding large undergraduate classes.
code9 years of coding experience
job3 years of employment as a software developer
bookUniversity of Illinois Urbana-Champaign
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Github Skills (8)

data-visualizations10
pandas10
data-visualization10
data-visualisation10
exploratory-data-analysis10
python10
jupyter9
data-science9

Programming languages (4)

JavaJavaScriptJupyter NotebookPython

Github contributions (5)

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lux-org/lux

Feb 2020 - Jun 2020

Automatically visualize your pandas dataframe via a single print! 📊 💡
Role in this project:
userData Scientist
Contributions:55 commits, 2 PRs, 39 pushes in 4 months
Contributions summary:Jaewoo contributed to the development of the `lux-org/lux` repository, a tool for automatically visualizing Pandas DataFrames. The contributions focused on adding new functionalities, implementing and integrating LuxDataFrame with the dataset, and incorporating new features such as data type computation, data model computation and data view generation. The user's work appears to involve designing and implementing components related to automatic visualization capabilities, by modifying core classes and integrating them.
pandas-dataframevisualization-toolsjupyterpythondata-science
whyjay17/Pyscent

Apr 2019 - Apr 2019

Make your python project smell good
Contributions:45 commits, 1 PR, 4 pushes in 19 days
python
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